Free Data Management Fundamentals Practice Questions

A.  

TRUE

B.  

FALSE

A.  

Quick metadata retrieval

B.  

None of the above

C.  

Combining data from multiple other tables in advance to avoid costly run-time joins

D.  

All of the above

E.  

High availability

F.  

Low latency, since it is independent of the source systems

A.  

Data marts

B.  

Objectives

C.  

Operational Reports

D.  

Reduction of risk

E.  

Staging Area

F.  

Contributions to business objectives

A.  

TRUE

B.  

FALSE

A.  

Data model management

B.  

Data acquisition

C.  

Data validation, standardization and enrichment

D.  

Entity resolution

E.  

Data sharing and stewardship

F.  

None of the above

A.  

Data collected with bias to prove a pre-conceived idea is correct

B.  

Leaving out required context in a report resulting in ambiguity and assumptions being made about the data points

C.  

Omission or inclusion of certain data points in a report or activity based on timing

D.  

Providing transparency on the sources, uses, and intent of the data used in a report

E.  

Leaving out the relationship between data points in a chart

A.  

Principles focused on ideas such as fairness, respect, responsibility, integrity, quality, reliability, transparency and trust

B.  

Data Security and Privacy Principles

C.  

Data Management principles that have been agreed by the organization

D.  

There are several ethical theories that need to be understood and will provide the principles we have to apply: 1. Virtue-based ethics. 2. Deontological ethics. 3. Consequentialist ethics

E.  

Generally Accepted Information Principles defined by GAAP

A.  

System development leverage cycle

B.  

System design lifecycle

C.  

System and design long cycle

D.  

System development lifecycle

A.  

Historical

B.  

Data security standards

C.  

Subject-orientated

D.  

Non-volatile

E.  

Data quality

F.  

Integrated

A.  

a patch in a system that allows it to be successfully unpatched and compromised.

B.  

being highly data risk rated

C.  

a strength in a system that allows external stakeholders to view data records.

D.  

a weakness or defect in a system that allows it to be successfully attacked and compromised.

A.  

Business focus

B.  

Enterprise continuum approach

C.  

Metamodel

D.  

Methods

E.  

Maturity model

A.  

TRUE

B.  

FALSE

A.  

TRUE

B.  

FALSE

A.  

Vision/Mission Statement, Data Governance data principles, Business drivers

B.  

Data Stewardship Metrics, Data Governance, Business Drivers

C.  

Vision/Mission statement, Data quality framework, Data stewardship metrics

D.  

Data processes, data principles and the timeframe for implementation

E.  

The Enterprise data architecture, data security practices and industry regulations

A.  

TRUE

B.  

FALSE